Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 844 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
2. 2.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
3. 3.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
4. 4.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
5. 5.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
7. 7.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
9. 9.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
10. 10.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
11. 11.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 39 right. What is its accuracy in percent?
12. 12.📦 Tara collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
16. 16.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
17. 17.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
18. 18.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 49 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
20. 20.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
21. 21.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
22. 22.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
23. 23.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
24. 24.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
26. 26.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
27. 27.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
28. 28.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
29. 29.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
31. 31.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 34 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
33. 33.📦 Tara collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
36. 36.📦 Ishaan collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.❌ Diya’s bird-song app was tested on 34 new bird songs and got 26 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
39. 39.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
40. 40.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?

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